- watermark_remover: _build_qwen_kwargs now passes explicit height/width (via
_qwen_target_size, floored to /16). Without it QwenImageImg2ImgPipeline defaults to
1024x1024 and silently squishes non-square inputs, distorting the scene and garbling text.
- watermark_profiles: resolve_strength gains a `pipeline` arg + a Qwen strength ladder
(_QWEN_VENDOR_STRENGTH, Gemini 0.25), so `--pipeline qwen` gets its certified floor
automatically; retires the manual "pass --strength 0.25 for Gemini on qwen" workaround.
- fidelity_metrics: replace per-face nearest matching (collided on multi-face images when a
variant dropped a face, corrupting the identity metric) with a collision-free one-to-one
assignment (assign_faces_one_to_one). lapvar/LPIPS were always bbox-anchored and immune.
Regression-guarded by tests/test_fidelity_matching.py.
- docs: record the measured outcomes of the qwen-improvement arc. The Qwen ControlNet
face-fix is CLOSED (no permissive Qwen detail/tile ControlNet exists; canny carries edges,
not skin grain). The `--pipeline auto` router + faces+text mixed dual-pass were prototyped
and DROPPED (controlnet wins faces AND display text: abba CER 0.114 vs qwen 0.379).
Z-Image-Turbo was tried and dropped (same regeneration limits). qwen stays a manual opt-in;
controlnet is the default for everything.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Cited deep-research report (22 sources, 3-vote adversarial verification, 5 refuted)
behind the "ship qwen as-is or improve first?" decision. Verdict: shippable now as
an opt-in text lane; strongest improvement lead is adding a Qwen-Image ControlNet
(InstantX / DiffSynth, Apache-2.0, diffusers QwenImageControlNetPipeline) for face/
skin structure; Z-Image-Turbo (6B, Apache-2.0) is the best cheaper text-preserving
substitute. No improvement has measured face-fidelity at our scrub floors yet --
validate with scripts/fidelity_metrics.py first. Linked from known-limitations.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Victor Kuznetsov